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Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
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Related Experiment Video

Updated: Jan 17, 2026

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ORMCKB: A Knowledge Database for Personalized Medicine in Deciphering the Oral Microbiome-Disease Axis.

Yutao Wu1,2, Yi Zhou2, Wenjing Shi2,3

  • 1State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Engineering Research Center of Oral Translational Medicine, Ministry of Education & National Engineering Laboratory for Oral Regenerative Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, People's Republic of China.

Interdisciplinary Sciences, Computational Life Sciences
|September 17, 2025
PubMed
Summary

A new oral microbiome knowledge database (ORMCKB) aids personalized medicine by detailing microbe-disease links. It outperforms AI models, offering a reliable resource for oral health research and clinical practice.

Keywords:
Knowledge databaseOral diseaseOral microbiomeOral microbiome-disease axisPersonalized medicine

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • The oral microbiome significantly influences disease development and progression.
  • Understanding oral microbiome-disease interactions is complex, posing challenges for clinical decisions and research.
  • A knowledge gap exists in accessible, comprehensive data on the oral microbiome-disease axis.

Purpose of the Study:

  • To develop the Oral Microbiome Knowledge Database (ORMCKB).
  • To provide an evidence-based resource for personalized medicine and scientific research.
  • To consolidate information on oral microbes, diseases, interventions, and bacteriostats.

Main Methods:

  • Data compilation from 818 publications.
  • Inclusion of 6941 oral microbe taxonomies, 234 diseases, 220 interventions, and 175 bacteriostats.
  • Development of a knowledge database (ORMCKB) for the oral microbiome-disease axis.

Main Results:

  • ORMCKB contains 11,554 data entries.
  • ORMCKB demonstrated superior performance compared to ChatGPT-4o in question matching and article authenticity.
  • High usability (SUS score 86.07) and user satisfaction (NPS score 85.71) were recorded.

Conclusions:

  • ORMCKB is the first knowledge database focused on the oral microbiome-disease axis.
  • It offers a comprehensive, accurate, and user-friendly resource for identifying microbial players and their disease associations.
  • ORMCKB is poised to advance AI applications in oral microbiome research and clinical practice.